Efficiently Scaling Transformer Inference

9 November 2022

Papers citing "Efficiently Scaling Transformer Inference"

39 / 39 papers shown

Title
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices Arnab Sanyal Prithwish Mukherjee Gourav Datta Sandeep P. Chinchali MQ 22 0 0 05 May 2025
RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference Y. Chen J. Zhang Baotong Lu Qianxi Zhang Chengruidong Zhang ... Chen Chen Mingxing Zhang Yuqing Yang Fan Yang Mao Yang 32 0 0 05 May 2025
Cobra: Efficient Line Art COlorization with BRoAder References Junhao Zhuang Lingen Li Xuan Ju Zhaoyang Zhang C. Yuan Ying Shan DiffM 55 0 0 16 Apr 2025
MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications Aashaka Shah Abhinav Jangda B. Li Caio Rocha Changho Hwang ... Peng Cheng Qinghua Zhou Roshan Dathathri Saeed Maleki Ziyue Yang GNN 44 0 0 11 Apr 2025
Adaptive Layer-skipping in Pre-trained LLMs Xuan Luo Weizhi Wang Xifeng Yan 52 0 0 31 Mar 2025
Seesaw: High-throughput LLM Inference via Model Re-sharding Qidong Su Wei Zhao X. Li Muralidhar Andoorveedu Chenhao Jiang Zhanda Zhu Kevin Song Christina Giannoula Gennady Pekhimenko LRM 68 0 0 09 Mar 2025
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation Sihyun Yu Meera Hahn Dan Kondratyuk Jinwoo Shin Agrim Gupta José Lezama Irfan Essa David A. Ross Jonathan Huang DiffM VGen 65 0 0 18 Feb 2025
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference Zhihang Lin Mingbao Lin Luxi Lin Rongrong Ji 46 16 0 28 Jan 2025
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location Ting Sun Penghan Wang Fan Lai 41 1 0 15 Jan 2025
Unifying KV Cache Compression for Large Language Models with LeanKV Yanqi Zhang Yuwei Hu Runyuan Zhao John C. S. Lui Haibo Chen MQ 83 5 0 04 Dec 2024
Context Parallelism for Scalable Million-Token Inference Amy Yang Jingyi Yang Aya Ibrahim Xinfeng Xie Bangsheng Tang Grigory Sizov Jeremy Reizenstein Jongsoo Park Jianyu Huang MoE LRM 42 5 0 04 Nov 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 57 5 0 28 Oct 2024
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration Heming Xia Yongqi Li Jun Zhang Cunxiao Du Wenjie Li LRM 36 4 0 09 Oct 2024
ControlAR: Controllable Image Generation with Autoregressive Models Zongming Li Tianheng Cheng Shoufa Chen Peize Sun Haocheng Shen Longjin Ran Xiaoxin Chen Wenyu Liu Xinggang Wang DiffM 132 14 0 03 Oct 2024
Discrete Copula Diffusion Anji Liu Oliver Broadrick Mathias Niepert Guy Van den Broeck DiffM 43 4 0 02 Oct 2024
Confidential Prompting: Protecting User Prompts from Cloud LLM Providers In Gim Caihua Li Lin Zhong 35 2 0 27 Sep 2024
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation Ashirbad Mishra Soumik Dey Marshall Wu Jinyu Zhao He Yu Kaichen Ni Binbin Li Kamesh Madduri 36 1 0 05 Sep 2024
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference Qichen Fu Minsik Cho Thomas Merth Sachin Mehta Mohammad Rastegari Mahyar Najibi 25 25 0 19 Jul 2024
Let the Code LLM Edit Itself When You Edit the Code Zhenyu He Jun Zhang Shengjie Luo Jingjing Xu Z. Zhang Di He KELM 23 0 0 03 Jul 2024
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure Jikai Wang Yi Su Juntao Li Qingrong Xia Zi Ye Xinyu Duan Zhefeng Wang Min Zhang 26 11 0 25 Jun 2024
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers Rya Sanovar Srikant Bharadwaj Renée St. Amant Victor Rühle Saravan Rajmohan 36 6 0 17 May 2024
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts R. Prabhakar R. Sivaramakrishnan Darshan Gandhi Yun Du Mingran Wang ... Urmish Thakker Dawei Huang Sumti Jairath Kevin J. Brown K. Olukotun MoE 28 12 0 13 May 2024
Allo: A Programming Model for Composable Accelerator Design Hongzheng Chen Niansong Zhang Shaojie Xiang Zhichen Zeng Mengjia Dai Zhiru Zhang 32 14 0 07 Apr 2024
Yi: Open Foundation Models by 01.AI 01. AI Alex Young 01.AI Alex Young Bei Chen Chao Li ... Yue Wang Yuxuan Cai Zhenyu Gu Zhiyuan Liu Zonghong Dai OSLM LRM 100 490 0 07 Mar 2024
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Tianle Cai Yuhong Li Zhengyang Geng Hongwu Peng Jason D. Lee De-huai Chen Tri Dao 20 243 0 19 Jan 2024
Splitwise: Efficient generative LLM inference using phase splitting Pratyush Patel Esha Choukse Chaojie Zhang Aashaka Shah Íñigo Goiri Saeed Maleki Ricardo Bianchini 19 194 0 30 Nov 2023
PrivateLoRA For Efficient Privacy Preserving LLM Yiming Wang Yu Lin Xiaodong Zeng Guannan Zhang 26 11 0 23 Nov 2023
RecycleGPT: An Autoregressive Language Model with Recyclable Module Yu Jiang Qiaozhi He Xiaomin Zhuang Zhihua Wu Kunpeng Wang Wenlai Zhao Guangwen Yang KELM 10 3 0 07 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 29 10,890 0 18 Jul 2023
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR Zixuan Ma Haojie Wang Jingze Xing Liyan Zheng Chen Zhang Huanqi Cao Kezhao Huang Shizhi Tang Penghan Wang Jidong Zhai GNN 24 1 0 11 Jul 2023
$S$^{3}$: Increasing GPU Utilization during Generative Inference for Higher Throughput$ S $^{3}$ : Increasing GPU Utilization during Generative Inference for Higher Throughput Yunho Jin Chun-Feng Wu David Brooks Gu-Yeon Wei 6 61 0 09 Jun 2023
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers Sotiris Anagnostidis Dario Pavllo Luca Biggio Lorenzo Noci Aurélien Lucchi Thomas Hofmann 24 51 0 25 May 2023
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline Zangwei Zheng Xiaozhe Ren Fuzhao Xue Yang Luo Xin Jiang Yang You 11 53 0 22 May 2023
With Shared Microexponents, A Little Shifting Goes a Long Way Bita Darvish Rouhani Ritchie Zhao V. Elango Rasoul Shafipour Mathew Hall ... Eric S. Chung Zhaoxia Deng S. Naghshineh Jongsoo Park Maxim Naumov MQ 23 36 0 16 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani Josip Djolonga Basil Mustafa Piotr Padlewski Jonathan Heek ... Mario Luvcić Xiaohua Zhai Daniel Keysers Jeremiah Harmsen N. Houlsby MLLM 24 562 0 10 Feb 2023
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference Sneha Kudugunta Yanping Huang Ankur Bapna M. Krikun Dmitry Lepikhin Minh-Thang Luong Orhan Firat MoE 119 87 0 24 Sep 2021
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 228 502 0 12 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019